From self-driving cars to vaccine development, artificial intelligence plays an increasingly large role in our society and daily lives. Indiana University researchers are at the forefront of developing AI technologies, while also working to ensure AI research is ethical and unbiased. IU’s state-of-the-art Luddy Center for Artificial Intelligence opens in August 2021, and it is providing a new hub where researchers can focus on robotics, complex networks, health technologies, social media, and more. That work includes a focus on proactive health by IU researcher Kay Connelly. Her work helps people with increased health risks, such as using AI to develop wearable devices for pregnant women to track their risk of gestational diabetes. Raj Acharya also works with AI and medicine at IU and is currently using AI and machine-learning techniques to reconstruct the genome of viruses, which is essential to understanding virus mutations and developing vaccines. IU computer scientist David Crandall is an expert in computer vision, a part of AI that studies how computers recognize things, such as self-driving cars recognizing stop signs. Crandall’s research focuses on machine learning, which is how computers are taught to recognize things based on the inputs of very large data sets. Beth Plale, executive director of the IU Pervasive Technology Institute at IU, does research in data provenance, auditing data for evidence of unconscious bias. Plale says machine-learning algorithms can be used to produce biased or negative outcomes -- for example, AI facial recognition does not always work for people of color. Automated drone strikes are another example of problems raised by AI’s use. Plale says the ethical implications of whether military drones should have the power to operate without human intervention is a problem society must face. AI is powerful and can be positive, say IU researchers, but problems arise as society grapples with what decisions AI should make. Going forward, IU is well-positioned to address the future questions about AI with infrastructure such as Big Red 200, a supercomputer supporting research in artificial intelligence, machine learning and data analytics, and broad collaborative opportunities such as IU’s Observatory on Social Media, a joint project that helps journalists understand the impact of AI technologies in online media today.